Dr. Manoj Kumar Somesula

About

Manoj Kumar Somesula received his PhD from National Institute of Technology Warangal, India. He completed M. Tech. degree in Computer Science from School of Information Technology, JNTU, Hyderabad, India and B. Tech. degree in Computer Science and Engineering from Mahaveer Institute of Science and Technology, JNTU, Hyderabad, India. He is currently working as an Assistant Professor in the Department of Computer Science and Engineering at BVRIT Hyderabad College of Engineering for Women, India. He has published several research papers on mobile edge networks and D2D networks in reputed international journals. His primary research area includes Edge computing, Wireless networks, Internet of Things and Unmanned aerial vehicles. He is a member of IEEE, IEEE ComSoc, IEEE Computer Society and ACM.

Employment

• Dr. B. R. Ambedkar National Institute of Technology Jalandhar Assistant Professor
  2023 - Present
• BVRIT Hyderabad College of Engineering For Women Assistant Professor
  2022 - Present

Education

• National Institute of Technology Warangal Ph.D.
  2016 - 2022
• Jawaharlal Nehru Technological University M. Tech
  2013 - 2015
• Jawaharlal Nehru Technological University B. Tech
  2009 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Age and energy aware data collection scheme for urban flood monitoring in UAV-assisted Wireless Sensor Networks
  Ad Hoc Networks 2025 DOI: 10.1016/j.adhoc.2024.103704
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• An online approach for cooperative cache updating and forwarding in mobile edge network
  Wireless Networks 2025 DOI: 10.1007/s11276-024-03749-7
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• Embracing Blockchain Technologies in Outsourcing Practices: Cases and Studies in Operations Research and Management Science
  2025 DOI: 10.1007/978-3-031-95393-4_4
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• MITS: Mobility-Aware Intelligent Task Scheduling in Vehicular Fog Networks
  IEEE Transactions on Vehicular Technology 2024 DOI: 10.1109/TVT.2023.3321806
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• Greedy cooperative cache placement for mobile edge networks with user preferences prediction and adaptive clustering
  Ad Hoc Networks 2023 DOI: 10.1016/j.adhoc.2022.103051
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• Deep reinforcement learning mechanism for deadline-aware cache placement in device-to-device mobile edge networks
  Wireless Networks 2023 DOI: 10.1007/s11276-022-03135-1
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• Cooperative Service Placement and Request Routing in Mobile Edge Networks for Latency-Sensitive Applications
  IEEE Systems Journal 2023 DOI: 10.1109/JSYST.2023.3260028
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• Deadline-Aware Cache Placement Scheme Using Fuzzy Reinforcement Learning in Device-to-Device Mobile Edge Networks
  Mobile Networks and Applications 2022 DOI: 10.1007/s11036-022-02010-9
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• Cooperative cache update using multi-agent recurrent deep reinforcement learning for mobile edge networks
  Computer Networks 2022 DOI: 10.1016/j.comnet.2022.108876
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• Contact duration-aware cooperative cache placement using genetic algorithm for mobile edge networks
  Computer Networks 2021 DOI: 10.1016/j.comnet.2021.108062
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